Tennessee RobUst, Secure, and Trustworthy AI Seminar (TRUST-AI)
In the rapidly evolving landscape of artificial intelligence, the imperative for robust, secure, and trustworthy AI systems has never been more critical. The TRUST-AI seminar series aims to address this urgency by bringing to the forefront discussions on ensuring AI technologies advance in capabilities and do so with an unwavering commitment to security, reliability, and ethical governance. Additionally, TRUST-AI serves as a vibrant platform for networking, collaboration, and inspiration, enabling participants to explore innovative solutions to complex problems and contribute to advancing a safer, more equitable digital world. By emphasizing these pillars of AI development, the seminar aims to position UT and Tennessee at the forefront of responsible and impactful AI research and application, ensuring its community plays a pivotal role in steering the conversation toward more secure, inclusive, and trustworthy technological futures.
Confirmed Speakers

Tudor DumitraČ™
University of Maryland, College Park

Charlie Epperson
U.S. Coast Guard

Kenneth Fleischmann
The University of Texas at Austin

Neil Gong
Duke University

Yuan Hong
University of Connecticut

Murat Kantarcioglu
Virginia Tech

Vitaly Pronskikh
Oak Ridge National Laboratory

Peter Stone
The University of Texas at Austin

Vitaly Shmatikov
Cornell University

Yuan Tian
University of California, Los Angeles

Li Xiong
Emory University

Mi Zhang
The Ohio State University
Organizing Committee
- Jian Liu (Chair)
- Doowon Kim
- Weizi Li
- Gregory Peterson
- Hairong Qi
- Amir Sadovnik (Joint Faculty with ORNL)
- Catherine Schuman
- Hector Santos-Villalobos
- Fnu Suya
- Michela Taufer
Sponsor
This seminar series is a part of the AI TENNessee Distinguished Seminar Series, proudly sponsored by the AI Tennessee Initiative.
Contact
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